Forward Deployed AI Engineer

We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.      Location: this is a hybrid position based from our New York City office located in the Hudson Yards. What you'll build As a Forward Deployed AI Engineer, you will independently build AI-native enterprise applications and work directly with customers to solve complex business problems. You will own technical workstreams, design production-grade AI solutions, and collaborate with architects to deliver scalable, secure, enterprise-ready AI applications. This role is designed for engineers with 3–7 years of experience who are passionate about Generative AI, cloud-native engineering, and customer success. In this role, you will:

Design and implement production-grade AI applications using modern software engineering practices. Develop AI agents using LLMs, RAG, MCP, tool calling, structured outputs, and multi-agent orchestration. Build integrations with SAP products, enterprise applications, APIs, databases, and external services. Deploy and operate AI applications on SAP AI Core, SAP BTP, Kubernetes, and public cloud platforms. Own customer-facing technical workstreams and translate business requirements into working AI solutions. Develop reusable frameworks, accelerators, and reference implementations. Perform code reviews and mentor Associate AI Developers. Optimize AI systems for performance, reliability, observability, and cost. Collaborate with architects, product engineering, and customer stakeholders. Drive innovation through prototypes and emerging AI technologies.

What you bring

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Information Technology, or a related discipline. 3–7 years of professional software engineering experience. Strong Python programming skills with experience in Java, TypeScript, or JavaScript. Hands-on experience with LangGraph, LangChain, CrewAI, Semantic Kernel, AutoGen, or similar frameworks. Strong understanding of LLMs, prompt engineering, embeddings, vector databases, RAG, MCP, and agentic AI. Experience building REST APIs, microservices, and cloud-native applications. Hands-on experience with Docker, Kubernetes, Git, CI/CD, and AWS, Azure, or GCP. Experience integrating enterprise applications and databases. Exposure to SAP BTP, SAP AI Core, Joule, or SAP Business AI services is highly desirable. Excellent communication, analytical thinking, ownership, and customer engagement skills.

Experience with Knowledge Graphs, GraphRAG, AI evaluation, and AI observability. Experience delivering enterprise AI projects in customer-facing roles. Open-source contributions, hackathons, or technical community involvement. Experience using GitHub Copilot, Cursor, Claude Code, or similar AI-assisted engineering tools.

Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries,